Abstract: To improve the performance of the greenhouse environment management system and to be capable of making real-time decision dynamically,the greenhouse environment management system was developed based on crop model.Firstly,a universal simplified crop growth model for greenhouse tomato and cucumber was established both for referring to former research results and validating its parameters with field experiments.Secondly,a knowledge database was established by collecting information and experience of experts.Finally,a decision support system for greenhouse environment management was developed by using of real-time data acquired dynamically integrating the technology of model prediction and knowledge reasoning.Through running in the experiment,the system could give out the optimized value of environmenta1 control parameters,such as temperature,light intensity,and other relevant information to support decision and management dynamically.It would get better prospect in future as further completion.

Key words: Greenhouse control, Greenhouse control, Environment management, Crop model, Decision support system